Temporary contract | 24 months | Belval

Are you passionate about research? So are we! Come and join us

The Luxembourg Institute of Science and Technology (LIST) is a Research and Technology Organization (RTO) active in the fields of materials, environment and IT. By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens in their choices, public authorities in their decisions and businesses in their strategies.

Do you want to know more about LIST? Check our website: https://www.list.lu/

Discover our IT for Innovative Services department: https://www.list.lu/en/informatics/

How will you contribute?

Your specific mission includes, but is not limited to, participating into the following activities along the project partners:

• to design and develop DevSecOps solutions and Data security solutions
• to prototype ML-based anti-fuzzing, vulnerability detection, information sharing technologies for cybersecurity, and anomaly detection solutions
• to develop open-source software
• to validate the effectiveness of developed technologies

You are in charge of disseminating and promoting the research activities that will be carried out, whether through publications, prototype development or technical reports.

You’re highly motivated and have proven skills in machine learning & cybersecurity to address the security concerns in software development and data protection. You have already good experience in collaborative cyberthreat intelligence systems that use advanced analytics solutions as can offer significant advantages over the local systems by detecting cyberattacks early and promptly responding to them.

And last, but not least, you’re a great practitioner of cybersecurity techniques such as vulnerability detection, information sharing, fuzzing, anti-fuzzing.

Is Your profile described below? Are you our future colleague? Apply now!

As to join us, you:

• hold a PhD. degree in Computer Science or related disciplines
• have good programming skills (particularly experience on Python and C++)
• have good track record on applied ML for cybersecurity, such as fuzzing and ML-based vulnerability detection and anomaly detection.
• have good track record on data protection for applications such as data spaces and digital twin.
• demonstrate strong interest and experience in fuzzing techniques such as mutation testing, symbolic execution, AFL, etc.
• familiar with ML frameworks, such as Pytorch, Tensorflow, Keras, HuggingFace, Pandas, NumPy, Scikit-learn.
• familiar with large language models and high-performance computing (HPC).
• have strong knowledge of trustworthy AI, namely adversarial robustness is a plus.
• have industrial dev experience is a plus.
• are fluent in English. Any knowledge in French and Luxembourgish is an advantage.

Your LIST benefits

• An organization with a passion for impact and strong RDI partnerships in Luxembourg and Europe that works on responsible and independent research projects
• Sustainable by design, empowering our belief that we play an essential role in paving the way to a green society
• Innovative infrastructures and exceptional labs occupying more than 5,000 square metres, including innovations in all that we do
• An environment encouraging curiosity, innovation and entrepreneurship in all areas
• Personalized learning programme to foster our staff’s soft and technical skills
• Multicultural and international work environment with more than 50 nationalities represented in our workforce
• Diverse and inclusive work environment empowering our people to fulfil their personal and professional ambitions
• Gender-friendly environment with multiple actions to attract, develop and retain women in science
• 32 days’ paid annual leave, 11 public holidays, 13-month salary, statutory health insurance
• Flexible working hours, home working policy and access to lunch vouchers

Apply online

Your application must include:

• A motivation letter oriented towards the position and detailing your experience.
• A scientific CV with contact details.
• List of publications (and patents, if applicable)
• Contact details of 2 references.

Application procedure and conditions:

We kindly request applicants to provide their nationality for statistical purposes only, as part of our commitment to promoting diversity and ensuring equal opportunities in our workforce. This information will be kept confidential and will not be used for any discriminatory purposes.

LIST is dedicated to maintaining an inclusive work environment and is an equal opportunity employer. We are committed to attracting, hiring, and retaining a diverse workforce. All applicants will be considered for employment without discrimination based on national origin, race, colour, gender, sexual orientation, gender identity, marital status, religion, age, or disability.

Applications will be continuously reviewed until the position is filled. An assessment committee will thoroughly evaluate applications, adhering to guidelines designed to ensure equal opportunities. The primary criteria for selection will be the alignment of the applicant's existing skills and expertise with the requirements mentioned above.